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DocumentAnalysisClient.cs
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DocumentAnalysisClient.cs
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// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
using System;
using System.IO;
using System.Threading;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Core.Pipeline;
namespace Azure.AI.FormRecognizer.DocumentAnalysis
{
/// <summary>
/// The client to use to connect to the Form Recognizer Azure Cognitive Service to analyze information from documents
/// and images and extract it into structured data. It provides the ability to use prebuilt models to analyze receipts,
/// business cards, invoices, to extract document content, and more. It's also possible to extract fields from custom
/// documents with models built on custom document types.
/// </summary>
/// <remarks>
/// This client only supports <see cref="DocumentAnalysisClientOptions.ServiceVersion.V2022_08_31"/> and newer.
/// To use an older service version, see <see cref="FormRecognizerClient"/>.
/// </remarks>
public class DocumentAnalysisClient
{
/// <summary>Provides communication with the Form Recognizer Azure Cognitive Service through its REST API.</summary>
internal readonly DocumentAnalysisRestClient ServiceClient;
/// <summary>Provides tools for exception creation in case of failure.</summary>
internal readonly ClientDiagnostics Diagnostics;
/// <summary>
/// Initializes a new instance of the <see cref="DocumentAnalysisClient"/> class.
/// </summary>
/// <param name="endpoint">The endpoint to use for connecting to the Form Recognizer Azure Cognitive Service.</param>
/// <param name="credential">A credential used to authenticate to an Azure Service.</param>
/// <remarks>
/// Both the <paramref name="endpoint"/> URI string and the <paramref name="credential"/> <c>string</c> key
/// can be found in the Azure Portal.
/// For more information see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md#authenticate-the-client"> here</see>.
/// </remarks>
public DocumentAnalysisClient(Uri endpoint, AzureKeyCredential credential)
: this(endpoint, credential, new DocumentAnalysisClientOptions())
{
}
/// <summary>
/// Initializes a new instance of the <see cref="DocumentAnalysisClient"/> class.
/// </summary>
/// <param name="endpoint">The endpoint to use for connecting to the Form Recognizer Azure Cognitive Service.</param>
/// <param name="credential">A credential used to authenticate to an Azure Service.</param>
/// <param name="options">A set of options to apply when configuring the client.</param>
/// <remarks>
/// Both the <paramref name="endpoint"/> URI string and the <paramref name="credential"/> <c>string</c> key
/// can be found in the Azure Portal.
/// For more information see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md#authenticate-the-client"> here</see>.
/// </remarks>
public DocumentAnalysisClient(Uri endpoint, AzureKeyCredential credential, DocumentAnalysisClientOptions options)
{
Argument.AssertNotNull(endpoint, nameof(endpoint));
Argument.AssertNotNull(credential, nameof(credential));
options ??= new DocumentAnalysisClientOptions();
Diagnostics = new ClientDiagnostics(options);
var pipeline = HttpPipelineBuilder.Build(options, new AzureKeyCredentialPolicy(credential, Constants.AuthorizationHeader));
ServiceClient = new DocumentAnalysisRestClient(Diagnostics, pipeline, endpoint, options.VersionString);
}
/// <summary>
/// Initializes a new instance of the <see cref="DocumentAnalysisClient"/> class.
/// </summary>
/// <param name="endpoint">The endpoint to use for connecting to the Form Recognizer Azure Cognitive Service.</param>
/// <param name="credential">A credential used to authenticate to an Azure Service.</param>
/// <remarks>
/// The <paramref name="endpoint"/> URI string can be found in the Azure Portal.
/// For more information see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md#authenticate-the-client"> here</see>.
/// </remarks>
public DocumentAnalysisClient(Uri endpoint, TokenCredential credential)
: this(endpoint, credential, new DocumentAnalysisClientOptions())
{
}
/// <summary>
/// Initializes a new instance of the <see cref="DocumentAnalysisClient"/> class.
/// </summary>
/// <param name="endpoint">The endpoint to use for connecting to the Form Recognizer Azure Cognitive Service.</param>
/// <param name="credential">A credential used to authenticate to an Azure Service.</param>
/// <param name="options">A set of options to apply when configuring the client.</param>
/// <remarks>
/// The <paramref name="endpoint"/> URI string can be found in the Azure Portal.
/// For more information see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/formrecognizer/Azure.AI.FormRecognizer/README.md#authenticate-the-client"> here</see>.
/// </remarks>
public DocumentAnalysisClient(Uri endpoint, TokenCredential credential, DocumentAnalysisClientOptions options)
{
Argument.AssertNotNull(endpoint, nameof(endpoint));
Argument.AssertNotNull(credential, nameof(credential));
options ??= new DocumentAnalysisClientOptions();
string defaultScope = $"{(string.IsNullOrEmpty(options.Audience?.ToString()) ? DocumentAnalysisAudience.AzurePublicCloud : options.Audience)}/.default";
Diagnostics = new ClientDiagnostics(options);
var pipeline = HttpPipelineBuilder.Build(options, new BearerTokenAuthenticationPolicy(credential, defaultScope));
ServiceClient = new DocumentAnalysisRestClient(Diagnostics, pipeline, endpoint, options.VersionString);
}
/// <summary>
/// Initializes a new instance of the <see cref="DocumentAnalysisClient"/> class.
/// </summary>
protected DocumentAnalysisClient()
{
}
#region Document Models
/// <summary>
/// Analyzes pages from one or more documents, using a model built with custom documents or one of the prebuilt
/// models provided by the Form Recognizer service.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="modelId">
/// The ID of the model to use for analyzing the input documents. When using a custom built model
/// for analysis, this parameter must be the ID attributed to the model during its creation. When
/// using one of the service's prebuilt models, one of the supported prebuilt model IDs must be passed.
/// Prebuilt model IDs can be found at <see href="https://aka.ms/azsdk/formrecognizer/models"/>.
/// </param>
/// <param name="document">The stream containing one or more documents to analyze.</param>
/// <param name="options">
/// A set of options available for configuring the analyze request. For example, specify the locale of the
/// document, or which pages to analyze.
/// </param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// An <see cref="AnalyzeDocumentOperation"/> to wait on this long-running operation. Its <see cref="AnalyzeDocumentOperation.Value"/> upon successful
/// completion will contain analyzed pages from the input document.
/// </returns>
public virtual async Task<AnalyzeDocumentOperation> AnalyzeDocumentAsync(WaitUntil waitUntil, string modelId, Stream document, AnalyzeDocumentOptions options = default, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(modelId, nameof(modelId));
Argument.AssertNotNull(document, nameof(document));
options ??= new AnalyzeDocumentOptions();
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(AnalyzeDocument)}");
scope.Start();
try
{
var response = await ServiceClient.DocumentModelsAnalyzeDocumentAsync(
modelId,
InternalContentType.ApplicationOctetStream,
options.Pages.Count == 0 ? null : string.Join(",", options.Pages),
options.Locale,
Constants.DefaultStringIndexType,
options.Features.Count == 0 ? null : options.Features,
document,
cancellationToken).ConfigureAwait(false);
var operation = new AnalyzeDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Analyzes pages from one or more documents, using a model built with custom documents or one of the prebuilt
/// models provided by the Form Recognizer service.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="modelId">
/// The ID of the model to use for analyzing the input documents. When using a custom built model
/// for analysis, this parameter must be the ID attributed to the model during its creation. When
/// using one of the service's prebuilt models, one of the supported prebuilt model IDs must be passed.
/// Prebuilt model IDs can be found at <see href="https://aka.ms/azsdk/formrecognizer/models"/>.
/// </param>
/// <param name="document">The stream containing one or more documents to analyze.</param>
/// <param name="options">
/// A set of options available for configuring the analyze request. For example, specify the locale of the
/// document, or which pages to analyze.
/// </param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// An <see cref="AnalyzeDocumentOperation"/> to wait on this long-running operation. Its <see cref="AnalyzeDocumentOperation.Value"/> upon successful
/// completion will contain analyzed pages from the input document.
/// </returns>
public virtual AnalyzeDocumentOperation AnalyzeDocument(WaitUntil waitUntil, string modelId, Stream document, AnalyzeDocumentOptions options = default, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(modelId, nameof(modelId));
Argument.AssertNotNull(document, nameof(document));
options ??= new AnalyzeDocumentOptions();
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(AnalyzeDocument)}");
scope.Start();
try
{
var response = ServiceClient.DocumentModelsAnalyzeDocument(
modelId,
InternalContentType.ApplicationOctetStream,
options.Pages.Count == 0 ? null : string.Join(",", options.Pages),
options.Locale,
Constants.DefaultStringIndexType,
options.Features.Count == 0 ? null : options.Features,
document,
cancellationToken);
var operation = new AnalyzeDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
operation.WaitForCompletion(cancellationToken);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Analyzes pages from one or more documents, using a model built with custom documents or one of the prebuilt
/// models provided by the Form Recognizer service.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="modelId">
/// The ID of the model to use for analyzing the input documents. When using a custom built model
/// for analysis, this parameter must be the ID attributed to the model during its creation. When
/// using one of the service's prebuilt models, one of the supported prebuilt model IDs must be passed.
/// Prebuilt model IDs can be found at <see href="https://aka.ms/azsdk/formrecognizer/models"/>.
/// </param>
/// <param name="documentUri">The absolute URI of the remote file to analyze documents from.</param>
/// <param name="options">
/// A set of options available for configuring the analyze request. For example, specify the locale of the
/// document, or which pages to analyze.
/// </param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// An <see cref="AnalyzeDocumentOperation"/> to wait on this long-running operation. Its <see cref="AnalyzeDocumentOperation.Value"/> upon successful
/// completion will contain analyzed pages from the input document.
/// </returns>
public virtual async Task<AnalyzeDocumentOperation> AnalyzeDocumentFromUriAsync(WaitUntil waitUntil, string modelId, Uri documentUri, AnalyzeDocumentOptions options = default, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(modelId, nameof(modelId));
Argument.AssertNotNull(documentUri, nameof(documentUri));
options ??= new AnalyzeDocumentOptions();
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(AnalyzeDocumentFromUri)}");
scope.Start();
try
{
var request = new AnalyzeDocumentRequest() { UrlSource = documentUri };
var response = await ServiceClient.DocumentModelsAnalyzeDocumentAsync(
modelId,
options.Pages.Count == 0 ? null : string.Join(",", options.Pages),
options.Locale,
Constants.DefaultStringIndexType,
options.Features.Count == 0 ? null : options.Features,
request,
cancellationToken).ConfigureAwait(false);
var operation = new AnalyzeDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Analyzes pages from one or more documents, using a model built with custom documents or one of the prebuilt
/// models provided by the Form Recognizer service.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="modelId">
/// The ID of the model to use for analyzing the input documents. When using a custom built model
/// for analysis, this parameter must be the ID attributed to the model during its creation. When
/// using one of the service's prebuilt models, one of the supported prebuilt model IDs must be passed.
/// Prebuilt model IDs can be found at <see href="https://aka.ms/azsdk/formrecognizer/models"/>.
/// </param>
/// <param name="documentUri">The absolute URI of the remote file to analyze documents from.</param>
/// <param name="options">
/// A set of options available for configuring the analyze request. For example, specify the locale of the
/// document, or which pages to analyze.
/// </param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// An <see cref="AnalyzeDocumentOperation"/> to wait on this long-running operation. Its <see cref="AnalyzeDocumentOperation.Value"/> upon successful
/// completion will contain analyzed pages from the input document.
/// </returns>
public virtual AnalyzeDocumentOperation AnalyzeDocumentFromUri(WaitUntil waitUntil, string modelId, Uri documentUri, AnalyzeDocumentOptions options = default, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(modelId, nameof(modelId));
Argument.AssertNotNull(documentUri, nameof(documentUri));
options ??= new AnalyzeDocumentOptions();
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(AnalyzeDocumentFromUri)}");
scope.Start();
try
{
var request = new AnalyzeDocumentRequest() { UrlSource = documentUri };
var response = ServiceClient.DocumentModelsAnalyzeDocument(
modelId,
options.Pages.Count == 0 ? null : string.Join(",", options.Pages),
options.Locale,
Constants.DefaultStringIndexType,
options.Features.Count == 0 ? null : options.Features,
request,
cancellationToken);
var operation = new AnalyzeDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
operation.WaitForCompletion(cancellationToken);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
#endregion Document Models
#region Document Classifiers
/// <summary>
/// Classifies one or more documents using a document classifier built with custom documents.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="classifierId">The ID of the document classifier to use.</param>
/// <param name="document">The stream containing one or more documents to classify.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// A <see cref="ClassifyDocumentOperation"/> to wait on this long-running operation. Its <see cref="ClassifyDocumentOperation.Value"/> upon successful
/// completion will contain documents classified from the input.
/// </returns>
public virtual async Task<ClassifyDocumentOperation> ClassifyDocumentAsync(WaitUntil waitUntil, string classifierId, Stream document, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(classifierId, nameof(classifierId));
Argument.AssertNotNull(document, nameof(document));
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(ClassifyDocument)}");
scope.Start();
try
{
var response = await ServiceClient.DocumentClassifiersClassifyDocumentAsync(
classifierId,
InternalContentType.ApplicationOctetStream,
Constants.DefaultStringIndexType,
document,
cancellationToken).ConfigureAwait(false);
var operation = new ClassifyDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Classifies one or more documents using a document classifier built with custom documents.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="classifierId">The ID of the document classifier to use.</param>
/// <param name="document">The stream containing one or more documents to classify.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// A <see cref="ClassifyDocumentOperation"/> to wait on this long-running operation. Its <see cref="ClassifyDocumentOperation.Value"/> upon successful
/// completion will contain documents classified from the input.
/// </returns>
public virtual ClassifyDocumentOperation ClassifyDocument(WaitUntil waitUntil, string classifierId, Stream document, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(classifierId, nameof(classifierId));
Argument.AssertNotNull(document, nameof(document));
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(ClassifyDocument)}");
scope.Start();
try
{
var response = ServiceClient.DocumentClassifiersClassifyDocument(
classifierId,
InternalContentType.ApplicationOctetStream,
Constants.DefaultStringIndexType,
document,
cancellationToken);
var operation = new ClassifyDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
operation.WaitForCompletion(cancellationToken);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Classifies one or more documents using a document classifier built with custom documents.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="classifierId">The ID of the document classifier to use.</param>
/// <param name="documentUri">The absolute URI of the remote file to classify documents from.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// A <see cref="ClassifyDocumentOperation"/> to wait on this long-running operation. Its <see cref="ClassifyDocumentOperation.Value"/> upon successful
/// completion will contain documents classified from the input.
/// </returns>
public virtual async Task<ClassifyDocumentOperation> ClassifyDocumentFromUriAsync(WaitUntil waitUntil, string classifierId, Uri documentUri, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(classifierId, nameof(classifierId));
Argument.AssertNotNull(documentUri, nameof(documentUri));
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(ClassifyDocumentFromUri)}");
scope.Start();
try
{
var request = new ClassifyDocumentRequest() { UrlSource = documentUri };
var response = await ServiceClient.DocumentClassifiersClassifyDocumentAsync(
classifierId,
Constants.DefaultStringIndexType,
request,
cancellationToken).ConfigureAwait(false);
var operation = new ClassifyDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
await operation.WaitForCompletionAsync(cancellationToken).ConfigureAwait(false);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
/// <summary>
/// Classifies one or more documents using a document classifier built with custom documents.
/// </summary>
/// <param name="waitUntil">
/// <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service;
/// <see cref="WaitUntil.Started"/> if it should return after starting the operation.
/// </param>
/// <param name="classifierId">The ID of the document classifier to use.</param>
/// <param name="documentUri">The absolute URI of the remote file to classify documents from.</param>
/// <param name="cancellationToken">A <see cref="CancellationToken"/> controlling the request lifetime.</param>
/// <returns>
/// A <see cref="ClassifyDocumentOperation"/> to wait on this long-running operation. Its <see cref="ClassifyDocumentOperation.Value"/> upon successful
/// completion will contain documents classified from the input.
/// </returns>
public virtual ClassifyDocumentOperation ClassifyDocumentFromUri(WaitUntil waitUntil, string classifierId, Uri documentUri, CancellationToken cancellationToken = default)
{
Argument.AssertNotNullOrEmpty(classifierId, nameof(classifierId));
Argument.AssertNotNull(documentUri, nameof(documentUri));
using DiagnosticScope scope = Diagnostics.CreateScope($"{nameof(DocumentAnalysisClient)}.{nameof(ClassifyDocumentFromUri)}");
scope.Start();
try
{
var request = new ClassifyDocumentRequest() { UrlSource = documentUri };
var response = ServiceClient.DocumentClassifiersClassifyDocument(
classifierId,
Constants.DefaultStringIndexType,
request,
cancellationToken);
var operation = new ClassifyDocumentOperation(ServiceClient, Diagnostics, response.Headers.OperationLocation, response.GetRawResponse());
if (waitUntil == WaitUntil.Completed)
{
operation.WaitForCompletion(cancellationToken);
}
return operation;
}
catch (Exception e)
{
scope.Failed(e);
throw;
}
}
#endregion Document Classifiers
}
}